Job Description

The role

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This is an exciting opportunity for a skilled, motivated and talented postdoctoral researcher to join the UKRI National AI Research Hub in AI for Collective Intelligence (AI4CI) to conduct research in AI and machine learning for ensuring stability in financial markets and investments. The role is based at University of Bristol, School of Engineering Mathematics and Technology, and will involve close collaboration with researchers at Bristol and Cardiff, as well as non-academic stakeholder partners in the financial sector.

What will you be doing?

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The primary focus of this post is to develop AI and machine learning applications to support and encourage financial stability from the level of the individual trader to national and trans-national markets. The research will leverage a combination of non-traditional sources of data (e.g., social media, news media) and traditional data from financial markets (prices, volumes, etc.) to provide regulators with early warning signals of bubbles/crashes and to protect investors from pathological investment behaviour. The project will involve collaborating with a range of non-academic stakeholders.

You should apply if

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You have demonstrable expertise in AI / machine learning / deep learning theory and applications You are interested in finance and financial systems. You can demonstrate high level analytical capability. You can work effectively in interdisciplinary research settings. You are able to collaborate effectively with non-academic stakeholder partners

Additional information

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For informal queries please contact: Prof John Cartlidge,

john.cartlidge@bristol.ac.uk

To find out more about what it's like to work in the Faculty of Engineering, and how the Faculty supports people to achieve their potential, please see our staff blog:

https://engineering.blogs.bristol.ac.uk/category/engineering-includes-me/

Contract type: Open ended with fixed funding for 2 years

Work pattern: Full time (part time will be considered, minimum of 0.5 FTE required)

Grade: I / J

The grade of the role offered will be determined based on the skills, qualifications, and experience you bring to the position.

Salary: Grade I 39,906 - 44,746 per annum; Grade J 43,482 - 50,253 per annum

School/Unit: Engineering Mathematics and Technology

This advert will close

at

23:59 UK time

on Sunday 21st September.

Our strategy and mission

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We recently launched our strategy to 2030 tying together our mission, vision and values.

The University of Bristol aims to be a place where everyone feels able to be themselves and do their best in an

inclusive working environment where all colleagues can thrive and reach their full potential.

We want

to attract, develop, and retain individuals

with different experiences, backgrounds and perspectives - particularly people of colour, LGBT+ and disabled people - because diversity of people and ideas remains integral to our excellence as a global civic institution.


JOB NUMBER

ACAD108264

CONTRACT TYPE/WORK PATTERN

Open ended / Full time

POSTING END DATE

21 Sep 2025

FACULTY/DIVISION

Faculty of Science and Engineering

SALARY

Grade I 39,906 - 44,746 per annum; Grade J 43,482 - 50,253 per annum